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Yuyao Tong

Biographic Data

ID9437859
NAMEYuyao Tong
GIVEN NAMESYuyao
FAMILY NAMETong
SIGNATURETONG Y
AFFILIATIONSGuangzhou University
ORCID0000-0002-9482-0725
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Exploring pre-service teachers’ AI ethics and application strategies in a generative AI-supported knowledge-building community

    Open Access•Yuyao Tong, Jingmin Miao•ARTICLE•Interactive Learning Environments•2026

    With the rapid development of generative artificial intelligence (GenAI) and its applications in teacher education, it is essential to understand pre-service teachers’ perceptions and strategies for using GenAI and to explore their learning about AI ethics from an epistemological perspective. This involves integrating GenAI as a non-human epistemic agent into knowledge-building environments with a focus on human-AI collaboration. The participants…

  • Productive classroom dialogue and its association with student achievement in knowledge-building environments

    Yuyao Tong, Yifan Ding•ARTICLE•Language and Education•2025

    The first purpose of the present study was to characterize progressive and metacognitive dialogue in knowledge-building classrooms. The second purpose was to examine the association between the quality of classroom dialogue and students’ learning outcomes, including domain knowledge and conception of collaboration. One hundred thirty college students and their teacher participated in this study. A total of 73 lessons were video-recorded. Qualitat…

  • Video-based analytics-supported formative feedback for enhancing low-achieving students’ conception of collaboration and classroom discourse engagement

    Open Access•Yuyao Tong, Gaowei Chen et al.•ARTICLE•Computers & Education•2025

  • Discursive engagement for intersubjectivity

    Open Access•Pengjin Wang, Chao Yang et al.•ARTICLE•Learning Culture and Social…•2025

  • Promoting low-achieving students’ epistemic understanding of discourse

    Yuyao Tong, Chao Yang et al.•ARTICLE•Interactive Learning Environments•2024

    This study examined fostering low-achieving students’ epistemic understanding of discourse in knowledge building classrooms using video-based visual learning analytics. The participants were two Grade 9 visual arts classes of low-achieving students. The experimental class (n = 33) engaged in a knowledge building classroom supported by video-based visual learning analytics, and the comparison class (n = 29) in a regular knowledge building classroo…

  • A visual learning analytics approach for knowledge building

    Open Access•Yuyao Tong, Chao Yang et al.•ARTICLE•British Journal of Educational…•2024

    In this study, we examine the design process for a visual learning analytics (VLA) approach in addition to its effect on developing students' epistemic understanding of discourse and relationships to promote knowledge‐building inquiry. Over a 3‐month period, an experimental class of secondary school students took a visual arts course using a knowledge‐building design augmented by VLA, while a comparison class took the same course within a regular…

No prominent works on this page.

  • Promoting low-achieving students’ epistemic understanding of discourse

    Yuyao Tong, Chao Yang et al.•ARTICLE•Interactive Learning Environments•2024

    This study examined fostering low-achieving students’ epistemic understanding of discourse in knowledge building classrooms using video-based visual learning analytics. The participants were two Grade 9 visual arts classes of low-achieving students. The experimental class (n = 33) engaged in a knowledge building classroom supported by video-based visual learning analytics, and the comparison class (n = 29) in a regular knowledge building classroo…

  • A visual learning analytics approach for knowledge building

    Open Access•Yuyao Tong, Chao Yang et al.•ARTICLE•British Journal of Educational…•2024

    In this study, we examine the design process for a visual learning analytics (VLA) approach in addition to its effect on developing students' epistemic understanding of discourse and relationships to promote knowledge‐building inquiry. Over a 3‐month period, an experimental class of secondary school students took a visual arts course using a knowledge‐building design augmented by VLA, while a comparison class took the same course within a regular…

  • Productive classroom dialogue and its association with student achievement in knowledge-building environments

    Yuyao Tong, Yifan Ding•ARTICLE•Language and Education•2025

    The first purpose of the present study was to characterize progressive and metacognitive dialogue in knowledge-building classrooms. The second purpose was to examine the association between the quality of classroom dialogue and students’ learning outcomes, including domain knowledge and conception of collaboration. One hundred thirty college students and their teacher participated in this study. A total of 73 lessons were video-recorded. Qualitat…

  • Video-based analytics-supported formative feedback for enhancing low-achieving students’ conception of collaboration and classroom discourse engagement

    Open Access•Yuyao Tong, Gaowei Chen et al.•ARTICLE•Computers & Education•2025

  • Discursive engagement for intersubjectivity

    Open Access•Pengjin Wang, Chao Yang et al.•ARTICLE•Learning Culture and Social…•2025

  • Exploring pre-service teachers’ AI ethics and application strategies in a generative AI-supported knowledge-building community

    Open Access•Yuyao Tong, Jingmin Miao•ARTICLE•Interactive Learning Environments•2026

    With the rapid development of generative artificial intelligence (GenAI) and its applications in teacher education, it is essential to understand pre-service teachers’ perceptions and strategies for using GenAI and to explore their learning about AI ethics from an epistemological perspective. This involves integrating GenAI as a non-human epistemic agent into knowledge-building environments with a focus on human-AI collaboration. The participants…

Innovative Teaching and Learning Methods (5 works) · Psychology (5 works) · Mathematics education (4 works) · Computer Science (3 works) · Online and Blended Learning (3 works) · Analytics (2 works) · Cognition (2 works) · Data science (2 works) · Education and Critical Thinking Development (2 works) · Educational Strategies and Epistemologies (2 works)

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